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Software-defined networking based on centralized control for smart grid communication
Author(s)
Indarjit, Elisha
Date Issued
2022
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
Communication networks are growing, and there is a need for improved planning and evolution of network scaling between Smart Grid (SG) and communication networks. The research explores the application of a Software-Defined Network (SDN) to the Smart Grid, for control, intelligence, and management. The same applies to Smart Grid environments; scalability, reliability, and intelligence become requirements.
The Smart Grid plays a significant role in providing electrical power to users and enterprises; the requirements are not phased within a location but rely on remote connectivity. This study measures the concept of a Software-Defined Network by the centralized SDN controller and the performance within an integrated network.
Further to the application, Software-Defined Network is applied to an SDN Smart home, SDN Automation plant, and SDN Electrical distribution system. Design phases are set out to evaluate the testing upon use case and integrated architecture of SDN and SG.
The study proves the successful integration of SDN+SG by a Network Exposure layer added to the target architecture to meet the advanced needs of connectivity to the end-user. Each use case directs the evolution of technology for automation and computing.
The Smart Grid plays a significant role in providing electrical power to users and enterprises; the requirements are not phased within a location but rely on remote connectivity. This study measures the concept of a Software-Defined Network by the centralized SDN controller and the performance within an integrated network.
Further to the application, Software-Defined Network is applied to an SDN Smart home, SDN Automation plant, and SDN Electrical distribution system. Design phases are set out to evaluate the testing upon use case and integrated architecture of SDN and SG.
The study proves the successful integration of SDN+SG by a Network Exposure layer added to the target architecture to meet the advanced needs of connectivity to the end-user. Each use case directs the evolution of technology for automation and computing.
Additional information
Thesis (MEng (Electrical Engineering))--Cape Peninsula University of Technology, 2022
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Indarjit_Elisha_217080944.pdf
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